Collaborative object-oriented visualization environment

So Hyun Ryu; Hyung Jun Kim; Jin Sung Park; Yong Won Kwon; Chang Sung Jeong

doi:10.1007/s11042-006-0066-7

Collaborative object-oriented visualization environment

So Hyun Ryu, Hyung Jun Kim, Jin Sung Park, Yong Won Kwon, Chang Sung Jeong

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

In this paper, we present a Collaborative Object-oriented Visualization Environment (COVE) which provides a flexible and extensible framework for collaborative visualization. COVE integrates collaborative and parallel computing environments based on a distributed object model. It is built as a collection of concurrent objects: collaborative and application objects which interact with one another to construct collaborative parallel computing environments. The former enables COVE to execute various collaborative functions, while the latter allows it to execute fast parallel visualization in various modes. Also, flexibility and extensibility are provided by plugging the proper application objects into COVE at run-time, and making them interact with one another through collaboration objects. For our experiment, three visualization modes for volume rendering are designed and implemented to support the fast and flexible analysis of volume data in a collaborative environment.

Original language	English
Pages (from-to)	209-234
Number of pages	26
Journal	Multimedia Tools and Applications
Volume	32
Issue number	2
DOIs	https://doi.org/10.1007/s11042-006-0066-7
Publication status	Published - 2007 Feb

Keywords

Collaborative visualization
Distributed object
Parallel computing

ASJC Scopus subject areas

Software
Media Technology
Hardware and Architecture
Computer Networks and Communications

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10.1007/s11042-006-0066-7

Cite this

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title = "Collaborative object-oriented visualization environment",

abstract = "In this paper, we present a Collaborative Object-oriented Visualization Environment (COVE) which provides a flexible and extensible framework for collaborative visualization. COVE integrates collaborative and parallel computing environments based on a distributed object model. It is built as a collection of concurrent objects: collaborative and application objects which interact with one another to construct collaborative parallel computing environments. The former enables COVE to execute various collaborative functions, while the latter allows it to execute fast parallel visualization in various modes. Also, flexibility and extensibility are provided by plugging the proper application objects into COVE at run-time, and making them interact with one another through collaboration objects. For our experiment, three visualization modes for volume rendering are designed and implemented to support the fast and flexible analysis of volume data in a collaborative environment.",

keywords = "Collaborative visualization, Distributed object, Parallel computing",

author = "Ryu, {So Hyun} and Kim, {Hyung Jun} and Park, {Jin Sung} and Kwon, {Yong Won} and Jeong, {Chang Sung}",

note = "Funding Information: This work has been supported by KIPA-Information Technology Research Center, University research program by Ministry of Information & Communication, and Brain Korea 21 projects in 2005.",

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doi = "10.1007/s11042-006-0066-7",

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AU - Ryu, So Hyun

AU - Kim, Hyung Jun

AU - Park, Jin Sung

AU - Kwon, Yong Won

AU - Jeong, Chang Sung

N1 - Funding Information: This work has been supported by KIPA-Information Technology Research Center, University research program by Ministry of Information & Communication, and Brain Korea 21 projects in 2005.

PY - 2007/2

Y1 - 2007/2

N2 - In this paper, we present a Collaborative Object-oriented Visualization Environment (COVE) which provides a flexible and extensible framework for collaborative visualization. COVE integrates collaborative and parallel computing environments based on a distributed object model. It is built as a collection of concurrent objects: collaborative and application objects which interact with one another to construct collaborative parallel computing environments. The former enables COVE to execute various collaborative functions, while the latter allows it to execute fast parallel visualization in various modes. Also, flexibility and extensibility are provided by plugging the proper application objects into COVE at run-time, and making them interact with one another through collaboration objects. For our experiment, three visualization modes for volume rendering are designed and implemented to support the fast and flexible analysis of volume data in a collaborative environment.

AB - In this paper, we present a Collaborative Object-oriented Visualization Environment (COVE) which provides a flexible and extensible framework for collaborative visualization. COVE integrates collaborative and parallel computing environments based on a distributed object model. It is built as a collection of concurrent objects: collaborative and application objects which interact with one another to construct collaborative parallel computing environments. The former enables COVE to execute various collaborative functions, while the latter allows it to execute fast parallel visualization in various modes. Also, flexibility and extensibility are provided by plugging the proper application objects into COVE at run-time, and making them interact with one another through collaboration objects. For our experiment, three visualization modes for volume rendering are designed and implemented to support the fast and flexible analysis of volume data in a collaborative environment.

KW - Collaborative visualization

KW - Distributed object

KW - Parallel computing

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DO - 10.1007/s11042-006-0066-7

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SP - 209

EP - 234

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JF - Multimedia Tools and Applications

IS - 2

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Collaborative object-oriented visualization environment

Abstract

Keywords

ASJC Scopus subject areas

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